Dr Claudia Lindner is currently a Rutherford Fund Research Fellow at HDR UK based at the University of Manchester. Her research interests are in medical computer science and specifically in the automated analysis of medical images to study musculoskeletal disorders.
The focus of her fellowship project is on developing and validating an automated computer-aided system for analysing the efficacy of knee replacement surgery. The goal is to transform clinically collected image data into useful medical information to benefit healthcare at individual and societal levels.
Claudia is a certified IT Specialist in Software Engineering (2002, German Chamber of Commerce and Industry). She received the BSc (2005) and the MSc (2007) degrees in Computer Science, both with distinction, from the Heinrich Heine University Düsseldorf, Germany, and the PhD (2014) degree in Medical Computer Science from the University of Manchester, U.K. Claudia has also obtained a PgC (2006) in International Business and a PgD (2007) in Business Administration from the University of the Sunshine Coast, Australia.
Claudia’s career includes over 10 years of experience in the development and application of computational methods working within multi-disciplinary teams in both industrial and academic settings in Germany, Australia and the U.K. She has won several national and international awards including the 1st prize for the Automated Detection and Analysis for Diagnosis in Cephalometric X-ray Images at the ISBI Grand Challenge event in New York in April 2015, highlighting the state-of-the-art performance of BoneFinder.
Helping to create tomorrow’s health data science leaders through the HDR UK NPIF Fellowship programme